Title :
Quantized feedback stabilization of linear systems
Author :
Brockett, Roger W. ; Liberzon, Daniel
Author_Institution :
Div. of Eng. & Appl. Sci., Harvard Univ., Cambridge, MA, USA
fDate :
7/1/2000 12:00:00 AM
Abstract :
This paper addresses feedback stabilization problems for linear time-invariant control systems with saturating quantized measurements. We propose a new control design methodology, which relies on the possibility of changing the sensitivity of the quantizer while the system evolves. The equation that describes the evolution of the sensitivity with time (discrete rather than continuous in most cases) is interconnected with the given system (either continuous or discrete), resulting in a hybrid system. When applied to systems that are stabilizable by linear time-invariant feedback, this approach yields global asymptotic stability
Keywords :
asymptotic stability; continuous time systems; control system synthesis; discrete time systems; linear systems; sensitivity analysis; state feedback; asymptotic stability; continuous time systems; discrete time systems; hybrid systems; linear time-invariant systems; sensitivity analysis; stabilization; state feedback; Asymptotic stability; Communication system control; Control design; Control systems; Equations; Feedback control; Linear feedback control systems; Linear systems; Output feedback; Quantization;
Journal_Title :
Automatic Control, IEEE Transactions on